China’s trade in services and asymmetric J-curve

Xu, Jia; Bahmani‐Oskooee, Mohsen; Karamelikli, Hüseyin

doi:10.1016/j.eap.2022.08.005

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Similarly, Bahmani‐Oskooee and Karamelikli (2021) use disaggregated data for 68 industries in the United Kingdom and China, confirming the J‐curve in only 19. Similarly, Xu et al (2022) use insurance and financial services trade data to test the asymmetric J‐curve between China and its major trading partners. They find that the J‐curve exists in 6 of 12 service industries in the NARDL model.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Novel evidence on the asymmetric J‐curve in the commodity trade between Korea and China: evidence from 75 industries

Zhao,

Liu

2023

Asian-Pac Economic Lit

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The real bilateral exchange rate between Korean won and Chinese yuan is a crucial factor in balancing trade between Korea and China and has implications for both academics and policymakers. Prior research using symmetry hypotheses on bilateral trade and its heterogeneity among industries is limited. This study re‐examines the symmetric and asymmetric J‐curve phenomenon between them, employing the linear and nonlinear autoregressive distributed lag models. It considered the January 2008–June 2022 trade balance of 75 industries. This analysis shows support for the symmetric (asymmetric) J‐curve in 4 of 12 industries from the linear (nonlinear) model, accounting for 58.55% of the total trade between Korea and China. Furthermore, short‐ and long‐run asymmetries are detected in most industries, affirming the suitability of the nonlinear ARDL method.

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Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%